Most SaaS founders feel it before they can name it. Growth is there, but slower than it should be. Subscribers sign up and quietly drift away. I help subscription businesses find where the revenue is going and put the right systems in place to hold onto it.
You're probably doing a lot of things right. But there are a few quiet patterns that show up in almost every subscription business at this stage, and they tend to compound.
Marketing owns acquisition. Support handles tickets. But the space between sign-up and renewal belongs to no one. That's usually where the most preventable churn lives.
It doesn't show up as a crisis. It shows up as growth that feels harder than it should. By the time the numbers look obviously wrong, months of recoverable revenue are already gone.
You might have Mixpanel, Stripe, an email platform. They show you what happened. They can't tell you what to change, in what order, or what it's worth to fix it. That's the gap.
Senior retention talent costs $8,000 to $10,000 a month before they're productive. For most growth-stage businesses, there's a better way to get this work done.
"Every month you wait to fix this, you lose the same amount again."Churn doesn't reset. It compounds. The best time to address it was last quarter. The second best time is now.
Some founders want a clear picture before committing to anything bigger. Others already know what they need. Either way, there's a path that makes sense for where you are.
I go through your full subscription lifecycle. The data, the flows, the team, and the people who left. You get back a report that shows exactly where revenue is leaking, why it's happening, and what to do about it first. Every recommendation has an estimated revenue impact attached.
I work as part of your team for three months. We take the findings from the audit and actually build the things that fix them. Onboarding sequences, lifecycle emails, win-back flows, upgrade triggers. Everything documented and handed over so your team can run it after I step back.
Drag to match where you are. A small improvement compounds every month from here.
Walk me through what's been happening with your numbers. I'll listen carefully, ask a few specific questions, and together we'll start to understand what's really underneath it. No agenda, no pressure.
Over two weeks I go through everything. Your data, your flows, your onboarding, and the people who left. You get back a clear picture of what's leaking, why, and what to fix first ranked by revenue impact.
If the findings point to a bigger engagement, I come on board for three months and we build the things we identified. You leave with a working retention system and a team that knows how to run it.
Tap each card to flip between what AI tools offer and what I actually deliver.
A dashboard tells you 40% of users churn at week three. It cannot tell you which specific action — or lack of one — is responsible, or what to do about it.
I look at your specific cohorts, talk to the users who left, and tell you the one thing causing most of the drop — with an estimated revenue impact attached.
AI generates a comprehensive list of things that might be causing churn. Comprehensive, generic, and overwhelming. You still have to figure out which one actually applies to you.
I look at your business specifically and tell you the single most valuable thing to fix first. Then we fix it together, instead of working through a list indefinitely.
Churn prediction tools flag accounts that are likely to leave. They do not fix why those accounts are leaving. The number stays the same.
I work on the underlying reasons subscribers leave — the onboarding gaps, pricing misalignments, missing lifecycle moments — which is the only thing that actually moves the number.
When an AI recommendation doesn't work, there is no one responsible. No follow-through, no adjustment, no relationship. Just the next suggestion on the list.
My reputation depends on your results. If something isn't working, I'm the one who finds out why and adjusts. That accountability changes the quality of every decision I make.
I spent years working inside SaaS and subscription businesses. Not consulting from the outside, but embedded in the decisions, the product conversations, and the data that determines whether a subscriber stays or goes.
I've watched what happens when a company grows its acquisition aggressively while the retention layer quietly bleeds. I've seen the exact patterns that cause it and learned to find them quickly. The churn spikes at the wrong moments. The onboarding that loses people before they experience the value. The pricing that doesn't match how customers actually think about what they're buying.
I work exclusively on subscription businesses because this isn't a side interest. It's the only thing I do. I take a small number of clients at a time because the depth of work I do doesn't work when spread thin.
Real experience at every lifecycle stage, from first activation through long-term retention and win-back. Not theory. Patterns observed across multiple business models and customer types.
You will never walk away with vague advice. Every finding comes with an estimated revenue impact so you always know what something is worth before you decide to act on it.
Onboarding sequences, win-back flows, cancel deflection, health scoring. I don't point at the problem and leave. I build it alongside your team and make sure it keeps working after I step back.
Every engagement is fully confidential. The patterns I've learned inform how I work. The client names and specifics stay private.
Thirty minutes. You tell me what's going on. I'll give you an honest read on what I see and whether I think I can help. No obligation after that.